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Intelligent Data Analysis: An Introduction Book Reviews from YouTube

What Is Data Analytics? - An Introduction (Full Guide)
sem6/Big data analytics/ Intelligent Data Analytics/unit 1
Intelligent Data Analytics | ISE 5103
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytics Using R | Edureka
Check out our latest Data Analytics video, for a list of essential data tools: https://youtu.be/jgXp1EE4Wms 📺 We have a fantastic, free short course, to help give you a flavor of the profession. Sign up here: http://bit.ly/Become_A_Data_Analyst
Can a student become a data analyst
Very clear and concise information, really useful !!
Finally....Now I understand!.
thanks a lot, i am one interested in becoming a Data analyst and i will make good use of this knowledge to add up
Fantastic video, clear and concise.
Awesome video!
Hello there CareerFoundry, I have a question on the step 4 of typical process of data analytics. How do we know when and what to use of those different techniques? Thank you.
Thank you so much! What is Data Analysis? Taking raw data companies collect, cleaning, organizing, & creating a story using that raw data Use Cases - Predict future sales or purchasing behavior - Help & protect against fraud - Analyze the effectiveness of marketing campaigns - Boost customer acquisition & retention - Increase supply chain efficiency Day to day - manage delivery of user satisfaction surveys & report on results using data visualization software - Work with business line owners to develop requirements, define success metrics, manage & execute a analytical projects, & evaluate results - Monitor practices, processes, & systems to identify opportunities for improvement - Translate important questions into concrete analytical tasks - Gather new data to answer client questions, collating & organizing data from multiple sources - Design, build, tear & maintain backend code - Establish data processes, define data quality criteria, & implement data quality processes - Work as part of a team to evaluate & analyze key data that will be used to shape future business strategies 5 main steps - Define the questions you want to answer - Why you’re conducting this analysis & what questions & answers you need to find - Then define what data you need & where it will come from - Collect data - Primary sources or internal data like CRM software or email marketing tools - I.e. Google trends or international orgs like WHO - Clean the data - Data may include duplicates, anomalies, & missing data - Can be manual & arduous but imperative - Analyze the data - Regression analysis, cluster analysis, time series analysis, etc. - Interpret & share results - Present findings in a way that others can understand & collaborate with key stakeholders Skills - mathematical & statistical - Programming languages - Analytical mindset - Keen problem solving skills - Excellent communication skills
Excellent...
que pasa causa?
ga
I am from HR. Can i become a Data Analyst ?
Check out our latest big data video, https://youtu.be/icGopl3KLZw
Can one link data analysis to molecular biology??
This is better
Thanks a lot! This was an interesting introduction. I also had a good laugh seeing the behind the scenes. 😂
Finally a well explained analysis on Data Analysis
Hi William, I find that you have done the best video for this topic and have well-covered information-sharing tips about this career. Thanks a ton!
thank You from india.
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka R Certification Training Curriculum, Visit the website: http://bit.ly/2CXHoKY
So interesting and helpful video
Excellent
Thank you so much for this eye opening on data analysis, it really goes a long way for me. Would you please share the data set you used in this tutorial for practice? Its very helpful to me. PLEASE.
Great tutorial,if I knew this in the past it would have really helped me to complete tasks very fast.Thank you for your excellent explanations.
Course fee for Data analyst certification in how much tome.
Excellent session. Tq 👍
please share the data set for practice
If p value is less than 0.05 then we reject null hypothesis ( it mentions there is no difference between diabetics and non-diabetics) your p value is less means there is no difference... Pls clarify.. You taught vey well
Thankyou nice explanation , nice pronounciation each word.
Mam i am 1 st year becteh can i learn big data in online class as beginner
Good Explanation.
Nice tutorial, kindly share the data set for practice
Great tutorial for beginner those who want to start a carrier as a data analyst. Would you please share the data set you used in this tutorial for practice? Its very helpful to me.
Very good presentation Can I receive data set sheet.csv
Superb video 👍🏻
Can you please share the dataset used in the tutorial
A great helpful tutorial
Can you please share the dataset used in the tutorial
thank you. it was well taught.

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